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Improving Word Representations via Global Context and Multiple Word Prototypes
Eric Huang
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Richard Socher
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Christopher Manning
|
Andrew Ng
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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
ACL |
Citations
URL
Co-learning of Word Representations and Morpheme Representations
Siyu Qiu
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Qing Cui
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Jiang Bian
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Bin Gao
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Tie-Yan Liu
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A Probabilistic Model for Learning Multi-Prototype Word Embeddings
Fei Tian
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Hanjun Dai
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Jiang Bian
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Bin Gao
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Rui Zhang
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Enhong Chen
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Tie-Yan Liu
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Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach
Duyu Tang
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Furu Wei
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Bing Qin
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Ming Zhou
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Ting Liu
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Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Improving distributional thesauri by exploring the graph of neighbors
Vincent Claveau
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Ewa Kijak
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Olivier Ferret
|
Unsupervised Word Sense Induction using Distributional Statistics
Kartik Goyal
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Eduard Hovy
|
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Christophe Servan
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Alexandre Bérard
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Zied Elloumi
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Hervé Blanchon
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Laurent Besacier
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Semi-supervised Word Sense Disambiguation with Neural Models
Dayu Yuan
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Julian Richardson
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Ryan Doherty
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Colin Evans
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Eric Altendorf
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D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib Jameel
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Steven Schockaert
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Enriching Phrase Tables for Statistical Machine Translation Using Mixed Embeddings
Peyman Passban
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Qun Liu
|
Andy Way
|
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data
Hila Gonen
|
Yoav Goldberg
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Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization
Meng Zhang
|
Yang Liu
|
Huanbo Luan
|
Yiqun Liu
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Maosong Sun
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Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
|
Jose Camacho-Collados
|
Sara Rodríguez-Fernández
|
Horacio Saggion
|
Leo Wanner
|
Language classification from bilingual word embedding graphs
Steffen Eger
|
Armin Hoenen
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Alexander Mehler
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Semi-Supervised Lexicon Learning for Wide-Coverage Semantic Parsing
Bo Chen
|
Bo An
|
Le Sun
|
Xianpei Han
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Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
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Cong Bao
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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Model-Free Context-Aware Word Composition
Bo An
|
Xianpei Han
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Le Sun
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Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki
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Kevin Duh
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Masashi Shimbo
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Yuji Matsumoto
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Recursive Autoencoders for ITG-Based Translation
Peng Li
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Yang Liu
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Maosong Sun
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Understanding and Quantifying Creativity in Lexical Composition
Polina Kuznetsova
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Jianfu Chen
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Yejin Choi
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Bilingual Word Embeddings for Phrase-Based Machine Translation
Will Y. Zou
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Richard Socher
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Daniel Cer
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Christopher D. Manning
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Deriving Adjectival Scales from Continuous Space Word Representations
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank
Richard Socher
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Alex Perelygin
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Jean Wu
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Jason Chuang
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Christopher D. Manning
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Andrew Ng
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Christopher Potts
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A Neural Network Approach to Selectional Preference Acquisition
Tim Van de Cruys
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Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model
Haiyang Wu
|
Daxiang Dong
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Xiaoguang Hu
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Dianhai Yu
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Wei He
|
Hua Wu
|
Haifeng Wang
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Ting Liu
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Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill
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Anna Korhonen
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Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data
Ivan Vulić
|
Marie-Francine Moens
|
Composition of Word Representations Improves Semantic Role Labelling
Michael Roth
|
Kristian Woodsend
|
NaturalLI: Natural Logic Inference for Common Sense Reasoning
Gabor Angeli
|
Christopher D. Manning
|
A Unified Model for Word Sense Representation and Disambiguation
Xinxiong Chen
|
Zhiyuan Liu
|
Maosong Sun
|
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
|
Jeevan Shankar
|
Alexandre Passos
|
Andrew McCallum
|
Glove: Global Vectors for Word Representation
Jeffrey Pennington
|
Richard Socher
|
Christopher Manning
|
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
Kazuma Hashimoto
|
Pontus Stenetorp
|
Makoto Miwa
|
Yoshimasa Tsuruoka
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A Model of Zero-Shot Learning of Spoken Language Understanding
Majid Yazdani
|
James Henderson
|
Knowledge Base Unification via Sense Embeddings and Disambiguation
Claudio Delli Bovi
|
Luis Espinosa-Anke
|
Roberto Navigli
|
Component-Enhanced Chinese Character Embeddings
Yanran Li
|
Wenjie Li
|
Fei Sun
|
Sujian Li
|
A Discriminative Training Procedure for Continuous Translation Models
Quoc-Khanh Do
|
Alexandre Allauzen
|
François Yvon
|
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention
Wang Ling
|
Yulia Tsvetkov
|
Silvio Amir
|
Ramón Fermandez
|
Chris Dyer
|
Alan W Black
|
Isabel Trancoso
|
Chu-Cheng Lin
|
Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
|
Dimitri Kartsaklis
|
Measuring Prerequisite Relations Among Concepts
Chen Liang
|
Zhaohui Wu
|
Wenyi Huang
|
C. Lee Giles
|
Online Learning of Interpretable Word Embeddings
Hongyin Luo
|
Zhiyuan Liu
|
Huanbo Luan
|
Maosong Sun
|
Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
|
Dan Jurafsky
|
Learning Semantic Composition to Detect Non-compositionality of Multiword Expressions
Majid Yazdani
|
Meghdad Farahmand
|
James Henderson
|
Variable-Length Word Encodings for Neural Translation Models
Rohan Chitnis
|
John DeNero
|
Reinforcing the Topic of Embeddings with Theta Pure Dependence for Text Classification
Ning Xing
|
Yuexian Hou
|
Peng Zhang
|
Wenjie Li
|
Dawei Song
|
Context-Dependent Sense Embedding
Lin Qiu
|
Kewei Tu
|
Yong Yu
|
Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke
|
Jose Camacho-Collados
|
Claudio Delli Bovi
|
Horacio Saggion
|
Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang
|
Fei Tian
|
Bin Gao
|
Chengjieren Zhu
|
Jiang Bian
|
Tie-Yan Liu
|
High-risk learning: acquiring new word vectors from tiny data
Aurélie Herbelot
|
Marco Baroni
|
MUSE: Modularizing Unsupervised Sense Embeddings
Guang-He Lee
|
Yun-Nung Chen
|
CLUSE: Cross-Lingual Unsupervised Sense Embeddings
Ta-Chung Chi
|
Yun-Nung Chen
|
Quantifying Context Overlap for Training Word Embeddings
Yimeng Zhuang
|
Jinghui Xie
|
Yinhe Zheng
|
Xuan Zhu
|
Disambiguated skip-gram model
Karol Grzegorczyk
|
Marcin Kurdziel
|
Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
Tom Bosc
|
Pascal Vincent
|
Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky
|
Mark Hopkins
|
Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky
|
Eitan Grossman
|
Daphna Weinshall
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Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain
|
Edward Banner
|
Jan-Willem van de Meent
|
Iain J. Marshall
|
Byron C. Wallace
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Improving Vector Space Word Representations Using Multilingual Correlation
Manaal Faruqui
|
Chris Dyer
|
Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko
|
Eugen Ruppert
|
Stefano Faralli
|
Simone Paolo Ponzetto
|
Chris Biemann
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Building Lexical Vector Representations from Concept Definitions
Danilo Silva de Carvalho
|
Minh Le Nguyen
|
The Language of Place: Semantic Value from Geospatial Context
Anne Cocos
|
Chris Callison-Burch
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On Modeling Sense Relatedness in Multi-prototype Word Embedding
Yixin Cao
|
Jiaxin Shi
|
Juanzi Li
|
Zhiyuan Liu
|
Chengjiang Li
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Training Word Sense Embeddings With Lexicon-based Regularization
Luis Nieto-Piña
|
Richard Johansson
|
Cascading Multiway Attentions for Document-level Sentiment Classification
Dehong Ma
|
Sujian Li
|
Xiaodong Zhang
|
Houfeng Wang
|
Xu Sun
|
Measuring Semantic Relations between Human Activities
Steven Wilson
|
Rada Mihalcea
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Towards Lower Bounds on Number of Dimensions for Word Embeddings
Kevin Patel
|
Pushpak Bhattacharyya
|
YNU-HPCC at IJCNLP-2017 Task 4: Attention-based Bi-directional GRU Model for Customer Feedback Analysis Task of English
Nan Wang
|
Jin Wang
|
Xuejie Zhang
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Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin
|
Hinrich Schütze
|
Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
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Jose Camacho-Collados
|
Ignacio Iacobacci
|
Roberto Navigli
|
Multi-prototype Chinese Character Embedding
Yanan Lu
|
Yue Zhang
|
Donghong Ji
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Cognitively Motivated Distributional Representations of Meaning
Elias Iosif
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Spiros Georgiladakis
|
Alexandros Potamianos
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Best of Both Worlds: Making Word Sense Embeddings Interpretable
Alexander Panchenko
|
B2SG: a TOEFL-like Task for Portuguese
Rodrigo Wilkens
|
Leonardo Zilio
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Eduardo Ferreira
|
Aline Villavicencio
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Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource
Attila Novák
|
Borbála Novák
|
Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani
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Danushka Bollegala
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Evaluation of Croatian Word Embeddings
Lukáš Svoboda
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Slobodan Beliga
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A Quantum-Theoretic Approach to Distributional Semantics
William Blacoe
|
Elham Kashefi
|
Mirella Lapata
|
Modeling Word Meaning in Context with Substitute Vectors
Oren Melamud
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Ido Dagan
|
Jacob Goldberger
|
Multiview LSA: Representation Learning via Generalized CCA
Pushpendre Rastogi
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Benjamin Van Durme
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Raman Arora
|
NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation
Chao Xing
|
Dong Wang
|
Chao Liu
|
Yiye Lin
|
Two/Too Simple Adaptations of Word2Vec for Syntax Problems
Wang Ling
|
Chris Dyer
|
Alan W. Black
|
Isabel Trancoso
|
Embedding a Semantic Network in a Word Space
Richard Johansson
|
Luis Nieto Piña
|
Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
|
Jesse Dodge
|
Sujay Kumar Jauhar
|
Chris Dyer
|
Eduard Hovy
|
Noah A. Smith
|
Unsupervised Morphology Induction Using Word Embeddings
Radu Soricut
|
Franz Och
|
Right-truncatable Neural Word Embeddings
Jun Suzuki
|
Masaaki Nagata
|
Sparse Bilingual Word Representations for Cross-lingual Lexical Entailment
Yogarshi Vyas
|
Marine Carpuat
|
K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu
|
D. Stott Parker
|
Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
|
Ivan Titov
|
Gertjan van Noord
|
Retrofitting Sense-Specific Word Vectors Using Parallel Text
Allyson Ettinger
|
Philip Resnik
|
Marine Carpuat
|
Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates
|
Danushka Bollegala
|
Parsing with Compositional Vector Grammars
Richard Socher
|
John Bauer
|
Christopher D. Manning
|
Andrew Y. Ng
|
Identifying Bad Semantic Neighbors for Improving Distributional Thesauri
Olivier Ferret
|
Re-embedding words
Igor Labutov
|
Hod Lipson
|
Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni
|
Georgiana Dinu
|
Germán Kruszewski
|
Metaphor Detection with Cross-Lingual Model Transfer
Yulia Tsvetkov
|
Leonid Boytsov
|
Anatole Gershman
|
Eric Nyberg
|
Chris Dyer
|
Semantic Parsing via Paraphrasing
Jonathan Berant
|
Percy Liang
|
Improving Lexical Embeddings with Semantic Knowledge
Mo Yu
|
Mark Dredze
|
Tailoring Continuous Word Representations for Dependency Parsing
Mohit Bansal
|
Kevin Gimpel
|
Karen Livescu
|
Improving Multi-Modal Representations Using Image Dispersion: Why Less is Sometimes More
Douwe Kiela
|
Felix Hill
|
Anna Korhonen
|
Stephen Clark
|
Community Evaluation and Exchange of Word Vectors at wordvectors.org
Manaal Faruqui
|
Chris Dyer
|
SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
Fei Sun
|
Jiafeng Guo
|
Yanyan Lan
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Jun Xu
|
Xueqi Cheng
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Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
Guangyou Zhou
|
Tingting He
|
Jun Zhao
|
Po Hu
|
A Unified Multilingual Semantic Representation of Concepts
José Camacho-Collados
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces
Ramon Astudillo
|
Silvio Amir
|
Wang Ling
|
Mário Silva
|
Isabel Trancoso
|
A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu
|
Xipeng Qiu
|
Xinchi Chen
|
Xuanjing Huang
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Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory
Xin Wang
|
Yuanchao Liu
|
Chengjie Sun
|
Baoxun Wang
|
Xiaolong Wang
|
Sparse Overcomplete Word Vector Representations
Manaal Faruqui
|
Yulia Tsvetkov
|
Dani Yogatama
|
Chris Dyer
|
Noah A. Smith
|
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai
|
Richard Socher
|
Christopher D. Manning
|
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe
|
Hinrich Schütze
|
Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering
Tao Chen
|
Ruifeng Xu
|
Yulan He
|
Xuan Wang
|
A Unified Learning Framework of Skip-Grams and Global Vectors
Jun Suzuki
|
Masaaki Nagata
|
Pre-training of Hidden-Unit CRFs
Young-Bum Kim
|
Karl Stratos
|
Ruhi Sarikaya
|
TR9856: A Multi-word Term Relatedness Benchmark
Ran Levy
|
Liat Ein-Dor
|
Shay Hummel
|
Ruty Rinott
|
Noam Slonim
|
Early and Late Combinations of Criteria for Reranking Distributional Thesauri
Olivier Ferret
|
Learning Cross-lingual Word Embeddings via Matrix Co-factorization
Tianze Shi
|
Zhiyuan Liu
|
Yang Liu
|
Maosong Sun
|
A Hierarchical Knowledge Representation for Expert Finding on Social Media
Yanran Li
|
Wenjie Li
|
Sujian Li
|
Automatic Keyword Extraction on Twitter
Luís Marujo
|
Wang Ling
|
Isabel Trancoso
|
Chris Dyer
|
Alan W. Black
|
Anatole Gershman
|
David Martins de Matos
|
João Neto
|
Jaime Carbonell
|
Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
|
Hinrich Schütze
|
On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
Ivan Vulić
|
Anna Korhonen
|
Query Expansion with Locally-Trained Word Embeddings
Fernando Diaz
|
Bhaskar Mitra
|
Nick Craswell
|
Generative Topic Embedding: a Continuous Representation of Documents
Shaohua Li
|
Tat-Seng Chua
|
Jun Zhu
|
Chunyan Miao
|
Embeddings for Word Sense Disambiguation: An Evaluation Study
Ignacio Iacobacci
|
Mohammad Taher Pilehvar
|
Roberto Navigli
|
Learning Word Meta-Embeddings
Wenpeng Yin
|
Hinrich Schütze
|
Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri
|
Philip Resnik
|
Jordan Boyd-Graber
|
Hal Daumé III
|
On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models
Steffen Eger
|
Alexander Mehler
|
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle
|
Aline Villavicencio
|
Marco Idiart
|
Semantics-Driven Recognition of Collocations Using Word Embeddings
Sara Rodríguez-Fernández
|
Luis Espinosa-Anke
|
Roberto Carlini
|
Leo Wanner
|
Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc
|
Jean Gallier
|
Dean Foster
|
Lyle Ungar
|
Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
|
Jose Camacho-Collados
|
Roberto Navigli
|
Nigel Collier
|
Improved Word Representation Learning with Sememes
Yilin Niu
|
Ruobing Xie
|
Zhiyuan Liu
|
Maosong Sun
|
Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
|
Waleed Ammar
|
Chris Dyer
|
Eduard Hovy
|
Representing Sentences as Low-Rank Subspaces
Jiaqi Mu
|
Suma Bhat
|
Pramod Viswanath
|
Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings
Yang Xu
|
Jiawei Liu
|
Wei Yang
|
Liusheng Huang
|
Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin
|
Fajie Yuan
|
Xiangnan He
|
Joemon M. Jose
|
Grounded Compositional Semantics for Finding and Describing Images with Sentences
Richard Socher
|
Andrej Karpathy
|
Quoc V. Le
|
Christopher D. Manning
|
Andrew Y. Ng
|
Multi-Modal Models for Concrete and Abstract Concept Meaning
Felix Hill
|
Roi Reichart
|
Anna Korhonen
|
Learning Composition Models for Phrase Embeddings
Mo Yu
|
Mark Dredze
|
Learning to Understand Phrases by Embedding the Dictionary
Felix Hill
|
Kyunghyun Cho
|
Anna Korhonen
|
Yoshua Bengio
|
Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
|
Shashi Narayan
|
Shay B. Cohen
|
Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora
|
Yuanzhi Li
|
Yingyu Liang
|
Tengyu Ma
|
Andrej Risteski
|
Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard
|
Richard Johansson
|
A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña
|
Richard Johansson
|
SRIUBC-Core: Multiword Soft Similarity Models for Textual Similarity
Eric Yeh
|
SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis
Mickael Rouvier
|
Benoit Favre
|
Sense Embedding Learning for Word Sense Induction
Linfeng Song
|
Zhiguo Wang
|
Haitao Mi
|
Daniel Gildea
|
Adding Context to Semantic Data-Driven Paraphrasing
Vered Shwartz
|
Ido Dagan
|
A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
|
Dat Quoc Nguyen
|
Ashutosh Modi
|
Stefan Thater
|
Manfred Pinkal
|
TRANSRW at SemEval-2018 Task 12: Transforming Semantic Representations for Argument Reasoning Comprehension
Zhimin Chen
|
Wei Song
|
Lizhen Liu
|
Robust Handling of Polysemy via Sparse Representations
Abhijit Mahabal
|
Dan Roth
|
Sid Mittal
|
Cross-Lingual Metaphor Detection Using Common Semantic Features
Yulia Tsvetkov
|
Elena Mukomel
|
Anatole Gershman
|
Towards Dynamic Word Sense Discrimination with Random Indexing
Hans Moen
|
Erwin Marsi
|
Björn Gambäck
|
Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong
|
Richard Socher
|
Christopher Manning
|
Philosophers are Mortal: Inferring the Truth of Unseen Facts
Gabor Angeli
|
Christopher Manning
|
Dynamic Topic Adaptation for SMT using Distributional Profiles
Eva Hasler
|
Barry Haddow
|
Philipp Koehn
|
A Simple Word Embedding Model for Lexical Substitution
Oren Melamud
|
Omer Levy
|
Ido Dagan
|
Neural context embeddings for automatic discovery of word senses
Mikael Kågebäck
|
Fredrik Johansson
|
Richard Johansson
|
Devdatt Dubhashi
|
Learning Distributed Representations for Multilingual Text Sequences
Hieu Pham
|
Thang Luong
|
Christopher Manning
|
Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal
|
Bilingual Word Representations with Monolingual Quality in Mind
Thang Luong
|
Hieu Pham
|
Christopher D. Manning
|
Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson
|
Luis Nieto Piña
|
Predicting Machine Translation Adequacy with Document Embeddings
Mihaela Vela
|
Liling Tan
|
Joint Semantic Relevance Learning with Text Data and Graph Knowledge
Dongxu Zhang
|
Bin Yuan
|
Dong Wang
|
Rong Liu
|
Exploring the effect of semantic similarity for Phrase-based Machine Translation
Kunal Sachdeva
|
Dipti Sharma
|
Words are not Equal: Graded Weighting Model for Building Composite Document Vectors
Pranjal Singh
|
Amitabha Mukerjee
|
Making Sense of Word Embeddings
Maria Pelevina
|
Nikolay Arefiev
|
Chris Biemann
|
Alexander Panchenko
|
A critique of word similarity as a method for evaluating distributional semantic models
Miroslav Batchkarov
|
Thomas Kober
|
Jeremy Reffin
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Julie Weeds
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David Weir
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
|
Yulia Tsvetkov
|
Pushpendre Rastogi
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Chris Dyer
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Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados
|
Roberto Navigli
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An Improved Crowdsourcing Based Evaluation Technique for Word Embedding Methods
Farhana Ferdousi Liza
|
Marek Grześ
|
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély
|
Márton Makrai
|
Dávid Márk Nemeskey
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András Kornai
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Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings
Ali Seyed
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Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
|
Nigel Collier
|
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation
Haoyue Shi
|
Caihua Li
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Junfeng Hu
|
Integrating WordNet for Multiple Sense Embeddings in Vector Semantics
David Foley
|
Jugal Kalita
|
Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations
Kentaro Kanada
|
Tetsunori Kobayashi
|
Yoshihiko Hayashi
|
Supervised and unsupervised approaches to measuring usage similarity
Milton King
|
Paul Cook
|
One Representation per Word - Does it make Sense for Composition?
Thomas Kober
|
Julie Weeds
|
John Wilkie
|
Jeremy Reffin
|
David Weir
|
Word Sense Filtering Improves Embedding-Based Lexical Substitution
Anne Cocos
|
Marianna Apidianaki
|
Chris Callison-Burch
|
Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms
Aleksander Wawer
|
Agnieszka Mykowiecka
|
Adapting Pre-trained Word Embeddings For Use In Medical Coding
Kevin Patel
|
Divya Patel
|
Mansi Golakiya
|
Pushpak Bhattacharyya
|
Nilesh Birari
|
Context encoders as a simple but powerful extension of word2vec
Franziska Horn
|
Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay
|
Kai-Wei Chang
|
Matt Taddy
|
Adam Kalai
|
James Zou
|
Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
|
Kevin Gimpel
|
Karen Livescu
|
Natural Language Grounding and Grammar Induction for Robotic Manipulation Commands
Muhannad Alomari
|
Paul Duckworth
|
Majd Hawasly
|
David C. Hogg
|
Anthony G. Cohn
|
Prepositional Phrase Attachment over Word Embedding Products
Pranava Swaroop Madhyastha
|
Xavier Carreras
|
Ariadna Quattoni
|
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
Dieke Oele
|
Gertjan van Noord
|
Conditional Random Fields for Metaphor Detection
Anna Mosolova
|
Ivan Bondarenko
|
Vadim Fomin
|
Complementary Strategies for Low Resourced Morphological Modeling
Alexander Erdmann
|
Nizar Habash
|
Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
Yuqi Sun
|
Haoyue Shi
|
Junfeng Hu
|
Transition-based Knowledge Graph Embedding with Relational Mapping Properties
Miao Fan
|
Qiang Zhou
|
Emily Chang
|
Thomas Fang Zheng
|
Testing APSyn against Vector Cosine on Similarity Estimation
Enrico Santus
|
Emmanuele Chersoni
|
Alessandro Lenci
|
Chu-Ren Huang
|
Philippe Blache
|
http://ai.stanford.edu/ehhuang/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Chunking
Information Retrieval
Sentiment Analysis
Question Answering
Approach
Deep Learning
Language
English
Dataset
News
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